10 papers · ranked by Valyu relevance
Yue Wu, Minghao Han, Ruiyin Li, Peng Liang + 4 more
Code often suffers from performance bugs. These bugs necessitate the research and practice of code optimization. Traditional rule-based methods rely on manually designing and maintaining rules for specific performance bugs (e.g., redundant loops, repeated computations), making them labor-intensive and limited in…
Yun Peng, Jun Wan, Jiakun Liu, Shuzheng Gao + 2 more
Runtime efficiency is a critical factor that impacts both software quality and user satisfaction. There are many approaches proposed for code optimization to improve runtime efficiency. Traditional code optimization methods operate on intermediate representations (IRs) during compilation for static languages. They are…
Jingzhi Gong, Vardan Voskanyan, Paul S. Brookes, Fan Wu + 6 more
Directions Authors: ['Jingzhi Gong' 'Vardan Voskanyan' 'Paul S. Brookes' 'Fan Wu' 'Jie Wei' 'Jie Xu' 'Rafail Giavrimis' 'Mike Basios' 'Leslie Kanthan' 'Zheng Wang'] JINGZHI GONG, University of Leeds, UK and TurinTech AI, UK VARDAN VOSKANYAN, TurinTech AI, UK PAUL BROOKES, TurinTech AI, UK FAN WU, TurinTech AI, UK WEI…
E. A. Kiselev, P. N. Telegin, А. В. Баранов
> Abstract— The increase in performance and power of computing systems requires the wider use of program optimizations. The goal of performing optimizations is not only to reduce program runtime, but also to reduce other computer resources including power consumption. The goal of the study was to evaluate the impact of…
Mohammed Fadle Abdulla
Developing an application with high performance through the code optimization places a greater responsibility on the programmers. While most of the existing compilers attempt to automatically optimize the program code, manual techniques remain the predominant method for performing optimization. Deciding where to try to…
Paweł Błażej, Dariusz R. Kowalski, Dorota Mackiewicz, Małgorzata Wnetrzak + 2 more
The standard genetic code (SGC) is the set of rules by which genetic information is translated into proteins, from codons, i.e. triplets of nucleotides, to amino acids. The questions about the origin and the main factor responsible for the present structure of the code are still under a hot debate. Various…
Shashank Pathak, Guohui Lin
Codon optimization of Open Reading Frame (ORF) sequences is essential for enhancing mRNA stability and expression in applications like mRNA vaccines, where codon choice can significantly impact protein yield which directly impacts immune strength. In this work, we investigate the use of a pre-trained protein language…
Yupeng Li, Fan Wang, Jiaqi Yang, Zirong Han + 15 more
Messenger RNA (mRNA) therapeutics show immense promise, but their efficacy is limited by suboptimal protein expression. Here, we present RiboDecode, a deep learning framework that generates mRNA codon sequences for enhanced mRNA translation. RiboDecode introduces several advances, including direct learning from…
Philippe A. Robert, Henrik Jönsson, Michael Meyer-Hermann
The modelling of biological systems often consists into differential equation models that need to be fitted to experimental data. During this complex process, the practical experience of the biologist and the theoretical abstraction of the modeller require back-and-forth refinements of the model, design of new…
Fabian Fröhlich, Peter K. Sorger
Ordinary differential equation (ODE) models are widely used to describe biochemical processes, since they effectively represent mass action kinetics. Optimization-based calibration of ODE models on experimental data can be challenging, even for low-dimensional problems. However, reliable model calibration is a…